Triple

T18680127
Position Surface form Disambiguated ID Type / Status
Subject Wear Valley E456710 entity
Predicate containsSettlement P847 FINISHED
Object Frosterley NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Frosterley | Statement: [Wear Valley, containsSettlement, Frosterley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frosterley
Context triple: [Wear Valley, containsSettlement, Frosterley]
  • A. Frosterley chosen
    Frosterley is a small village in County Durham, England, situated in the rural Weardale valley and known historically for its quarrying and distinctive “Frosterley marble.”
  • B. Yarrowford
    Yarrowford is a small village in the Scottish Borders region of Scotland, situated in the Yarrow Valley near the River Yarrow.
  • C. Fritchley
    Fritchley is a small village in Derbyshire, England, known for its rural character and proximity to the larger village of Crich.
  • D. Sharneyford
    Sharneyford is a small settlement in Lancashire, England, situated within the Rossendale Valley near the border with West Yorkshire.
  • E. Farnsfield
    Farnsfield is a rural village and civil parish in Nottinghamshire, England, known for its countryside setting and historic parish church.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e55b2783648190bb602e2b07eedf92 completed April 19, 2026, 10:45 p.m.
Created at: April 10, 2026, 11:48 a.m.